Andy M. Yip, Ph.D.

Affiliations: 
2005 University of California, Los Angeles, Los Angeles, CA 
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"Andy Yip"

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Tony F-c Chan grad student 2005 UCLA
 (Some mathematical models for data clustering.)
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Publications

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Chan R, Chan TF, Yip A. (2015) Numericalmethods and applications in total variation image restoration Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. 1501-1537
Yip AM, Zhu W. (2013) A fast modified Newton's method for curvature based denoising of 1D signals Inverse Problems and Imaging. 7: 1075-1097
Law YN, Lee HK, Ng MK, et al. (2012) A semisupervised segmentation model for collections of images. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 2955-68
Wen YW, Chan RH, Yip AM. (2012) A primal-dual method for total-variation-based wavelet domain inpainting. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 106-14
Lau TS, Yip AM. (2012) A fast method for segmenting images with additive intensity value Siam Journal On Imaging Sciences. 5: 993-1021
Law YN, Lee HK, Yip AM. (2011) Subspace learning for Mumford-Shah-model-based texture segmentation through texture patches. Applied Optics. 50: 3947-57
Law YN, Lee HK, Liu C, et al. (2011) A variational model for segmentation of overlapping objects with additive intensity value. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 20: 1495-503
Law YN, Yip AM, Lee HK. (2011) Automatic measurement of volume percentage stroma in endometrial images using texture segmentation. Journal of Microscopy. 241: 171-8
Kang SH, Sandberg B, Yip AM. (2011) A regularized k-means and multiphase scale segmentation Inverse Problems and Imaging. 5: 407-429
Wen YW, Liu C, Yip AM. (2010) Fast splitting algorithm for multiframe total variation blind video deconvolution. Applied Optics. 49: 2761-8
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